Senior Data Modeler

3 days ago


New York, New York, United States Synergy Interactive Full time $80,000 - $140,000 per year

We are seeking an experienced Senior Data Modeler to join our newly created Service Consultant Sub-Practice and work exclusively with a mature, impactful, long-term client in the financial services industry. This role requires a balance of independent work and teamwork, with a focus on advancing the client's agenda. The ideal candidate will possess some understanding of the financial services sector, coupled with a proven track record of independent work and team collaboration. Join us to make a meaningful impact and contribute to our innovative team.

What you'll do:

  • Apply ER Studio and Data Modeling expertise to a Data Engineering team dedicated to the design and development, and delivery of Data products leveraging Databricks on AWS
  • Work with Business Architects, Solution Architects, and Data Stewards to capture business requirements in a Conceptual and Logical Data Model.
  • Contribute to ongoing updates to data modeling standards and guidelines
  • Evaluate physical data models to ensure they align with the corresponding logical data models.
  • Create notebooks in Databricks in support of development activities (using Spark SQL, PySpark)
  • Support enterprise data catalog setup and enrichment

Requirements:

  • Data management background with hands-on work experience in supporting teams that are building and testing data pipelines
  • 4+ years of hands-on data modeling experience with ER Studio.
  • Hands-on strong Data modeling (Conceptual, Logical, Physical, 3nF, Dimensional) at both enterprise and data product level.
  • Strong SQL skills
  • Good Databricks skills and understanding of Medallion Architecture
  • Working knowledge of Unity Catalog
  • Experience in the financial sector with Market securities reference data and fixed income such as Treasuries. (Preference is financial experience, but send other backgrounds too)
  • Working knowledge of traditional DBMS platforms like Oracle and Cloud DBMS like Redshift and Databricks.
  • Strong verbal, presentation, and written communication skills

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